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Building Local AI Agents with Phidata Made Simple

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06 June 2024 5h04

Thank you so much Ashpreet! It's amazingly straight-forward to even build local AI agents with @phidatahq
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LLM Apps with RAG Demos in GitHub Repository

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06 June 2024 4h35

Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support

Streamlit Demo: Research Agent with Llama3

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06 June 2024 4h34

Working Application demo using Streamlit

Paste the above code in vscode or pycharm and run the following command: 'streamlit run research_agent_llama3.py' pic.twitter.com/W67HwFCYQ3
— Shubham Saboo (@Saboo_Shubham_) 6 juin 2024

Working Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run research_agent_llama3.py'

Multi-Agent LLM Application with Llama-3 Code

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06 June 2024 4h34

Full multi-agent LLM app with Llama-3 code

Building AI Research Agent Chat Interface with Streamlit

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06 June 2024 4h34

6. Chat with AI Research Agent
• Create a text input for the user to enter their query using 'st.text_input()'
• If a question is asked, run the assistant to get the answer and display it using 'st.write()'

Initialize AI Assistants Team for HackerNews Research

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06 June 2024 4h34

5. Initialize the AI assistants
• Create instances of Assistants: HackerNews Story Researcher and HackerNews User Researcher
• Combine the assistants into a team called "Hackernews Team"

Setting Up Streamlit App User Interface with Python

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06 June 2024 4h34

4. Set up the Streamlit App Streamlit lets you create a user interface with just Python code. For this app, we will:
• Add a title to the app using 'st.title()'
• Add a description for the app using 'st.caption()'